Literature DB >> 25331294

Fast multistation water/fat imaging at 3T using DREAM-based RF shimming.

Melissa T Hooijmans1, Oleh Dzyubachyk2, Kay Nehrke3, Peter Koken3, Maarten J Versluis1, Hermien E Kan1, Peter Börnert1,3.   

Abstract

PURPOSE: To show the effect, efficiency, and image quality improvements achievable by Dual Refocusing Echo Acquisition Mode (DREAM)-based B1+ shimming in whole-body magnetic resonance imaging (MRI) at 3T using the example of water/fat imaging.
MATERIALS AND METHODS: 3D multistation, dual-echo mDixon gradient echo imaging was performed in 10 healthy subjects on a clinical 3T dual-transmit MRI system using station-to-station adapted B1+ shimming based on fast DREAM B1+ mapping. Whole-body data were obtained using conventional quadrature excitation and station-by-station adapted DREAM-based B1+ shimmed excitation, along with the corresponding B1+ maps for both excitation modes to assess image quality and radiofrequency (RF) performance.
RESULTS: Station-dependent DREAM-based B1+ shimming showed significantly improved image quality in the stations covering the upper legs, pelvis, and upper body region for all subjects (P < 0.02). This finding is supported by corresponding B1+ maps showing an improved B1+ homogeneity and a more precise flip angle in the DREAM-based B1+ shimmed excitation (P < 0.01). Furthermore, the very short dual-channel DREAM B1+ mapping times of less than 2 seconds facilitate quick B1+ shimming.
CONCLUSION: Station-dependent DREAM-based B1+ shimming improved RF performance and image quality and is therefore a promising technique for whole-body multistation imaging applications.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  3T; DREAM; RF shimming; whole-body imaging

Mesh:

Year:  2014        PMID: 25331294     DOI: 10.1002/jmri.24775

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  3 in total

1.  mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based Classification.

Authors:  Pengjiang Qian; Yangyang Chen; Jung-Wen Kuo; Yu-Dong Zhang; Yizhang Jiang; Kaifa Zhao; Rose Al Helo; Harry Friel; Atallah Baydoun; Feifei Zhou; Jin Uk Heo; Norbert Avril; Karin Herrmann; Rodney Ellis; Bryan Traughber; Robert S Jones; Shitong Wang; Kuan-Hao Su; Raymond F Muzic
Journal:  IEEE Trans Med Imaging       Date:  2019-08-16       Impact factor: 10.048

2.  Improved image quality and reduced power deposition in the spine at 3 T using extremely high permittivity materials.

Authors:  Kirsten Koolstra; Peter Börnert; Wyger Brink; Andrew Webb
Journal:  Magn Reson Med       Date:  2017-05-22       Impact factor: 4.668

3.  Ultrafast B1 mapping with RF-prepared 3D FLASH acquisition: Correcting the bias due to T1 -induced k-space filtering effect.

Authors:  Dan Zhu; Michael Schär; Qin Qin
Journal:  Magn Reson Med       Date:  2022-04-05       Impact factor: 3.737

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.